iPad16,2
Geekbench AI Score
4009
Single Precision Score
6903
Half Precision Score
5628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3126
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16177
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13982
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1802
143.0 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2384
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
7049
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3944
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6947
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13552
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9290
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21056
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32411
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27203
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6354
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6290
108.7 IPS |
